Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2021The impact of biased sampling of event logs on the performance of process discovery
Fani Sani, M.; Zelst, S.J. van; Aalst, W.M.P. van der
Zeitschriftenaufsatz
2021Process Model Discovery from Sensor Event Data
Janssen, D.; Mannhardt, F.; Koschmider, A.; Zelst, S.J. van
Konferenzbeitrag
2020Conformance checking approximation using simulation
Sani, M.F.; Gonzalez, J.J.G.; Zelst, S.J. van; Aalst, W.M.P. van der
Konferenzbeitrag
2020Conformance Checking Approximation Using Subset Selection and Edit Distance
Fani Sani, M.; Zelst, S.J. van; Aalst, W.M.P. van der
Konferenzbeitrag
2020Detection and removal of infrequent behavior from event streams of business processes
Zelst, S.J. van; Fani Sani, M.; Ostovar, A.; Conforti, R.; Rosa, M. La
Zeitschriftenaufsatz
2020A Generic Framework for Attribute-Driven Hierarchical Trace Clustering
Zelst, S.J. van; Cao, Y.
Konferenzbeitrag
2020Improving the performance of process discovery algorithms by instance selection
Sani, M.F.; Zelst, S.J. van; Aalst, W. van der
Zeitschriftenaufsatz
2020An interdisciplinary comparison of sequence modeling methods for next-element prediction
Tax, N.; Teinemaa, I.; Zelst, S.J. van
Zeitschriftenaufsatz
2020Repairing Alignments of Process Models
Zelst, S.J. van; Buijs, J.C.A.M.; Vázquez-Barreiros, B.; Lama, M.; Mucientes, M.
Zeitschriftenaufsatz
2020Semi-automated Time-Granularity Detection for Data-Driven Simulation Using Process Mining and System Dynamics
Pourbafrani, M.; Zelst, S.J. van; Aalst, W.M.P. van der
Konferenzbeitrag
2020Supporting automatic system dynamics model generation for simulation in the context of process mining
Pourbafrani, M.; Zelst, S.J. van; Aalst, W.M.P. van der
Konferenzbeitrag
2020Supporting decisions in production line processes by combining process mining and system dynamics
Pourbafrani, M.; Zelst, S.J. van; Aalst, W.M.P. van der
Konferenzbeitrag
2020Translating Workflow Nets to Process Trees: An Algorithmic Approach
Zelst, S.J. van; Leemans, S.J.J.
Zeitschriftenaufsatz
2020Using multi-level information in hierarchical process mining: Balancing behavioural quality and model complexity
Leemans, S.J.J.; Goel, K.; Zelst, S.J. van
Konferenzbeitrag
2019Automated robotic process automation: A self-learning approach
Gao, J.; Zelst, S.J. van; Lu, X.; Aalst, W.M.P. van der
Konferenzbeitrag
2019Filtering toolkit: Interactively filter event logs to improve the quality of discovered models
Sani, M.F.; Berti, A.; Zelst, S.J. van; Aalst, W. van der
Konferenzbeitrag
2019A Generic Approach for Process Performance Analysis Using Bipartite Graph Matching
Li, C.-Y.; Zelst, S.J. van; Aalst, W.M.P. van der
Konferenzbeitrag
2019The Impact of Event Log Subset Selection on the Performance of Process Discovery Algorithms
Fani Sani, M.; Zelst, S.J. van; Aalst, W.M.P. van der
Konferenzbeitrag
2019On the application of sequential pattern mining primitives to process discovery: Overview, outlook and opportunity identification
Hassani, M.; Zelst, S.J. van; Aalst, W.M.P. van der
Zeitschriftenaufsatz
2019PM4Py web services: Easy development, integration and deployment of process mining features in any application stack
Berti, A.; Zelst, S.J. van; Aalst, W. van der
Konferenzbeitrag
2019Scenario-based prediction of business processes using system dynamics
Pourbafrani, M.; Zelst, S.J. van; Aalst, W.M.P. van der
Konferenzbeitrag
2018Applying sequence mining for outlier detection in process mining
Fani Sani, M.; Zelst, S.J. van; Aalst, W.M.P. van der
Konferenzbeitrag